Two-way sync
Changes in Airtable or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Apollo.io in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Airtable, where it can be queried and joined like everything else.
Stacksync mirrors Tasks and calls, Custom fields, Contacts, Accounts from Apollo.io into Views, Linked records, Attachments, Collaborators in Airtable with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Apollo.io with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
Field and stage updates in Apollo.io arrive as row changes in Airtable, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Apollo.io become tables in Airtable you can join with application data directly.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Airtable objects | Apollo.io objects | |
|---|---|---|
| Linked records Cross-table references that carry relationships between synced tables. | Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Apollo.io connection.
Changes in Airtable or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Apollo.io data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or Apollo.io record.
Track your Airtable ⇄ Apollo.io sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Apollo.io.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Airtable and Apollo.io with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Airtable and Apollo.io objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Apollo.io: authenticate both systems, choose the objects to sync (such as Airtable's Linked records and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Airtable and Apollo.io. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. On Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apollo.io side: Tasks and calls, Custom fields, Contacts, Accounts, plus custom fields where Apollo.io exposes them. On the Airtable side: Views, Linked records, Attachments, Collaborators. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Airtable and Apollo.io: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Airtable and Apollo.io.